Unlock the data from the connected world

Tap the power of artificial intelligence, blockchain and advanced analytics to uncover insights, create trusted transactions, and employ intelligence in revolutionary ways. Meet rising business demands and transform the way people and machines work together. HPE Artificial Intelligence (AI) and Data Driven Services will help you every step of the way, from developing a big data foundation to deriving AI-driven, blockchain-powered automated business outcomes.

Technology, security and intelligence will be embedded everywhere. Everyone and everything will be connected – and thinking. You need the right data and analytics advisory partner to power your digital business and help you gain deeper insights from your data.

Implementing AI is a multi-step process, not a plug-in one. First, align your teams around a common vision. Identify AI, blockchain, data and analytics outcomes and challenges; explore use cases; and develop a high-level plan. Then prove the value of AI and blockchain in your environment with the select use cases that align to your business needs. Finally, evolve your solutions, correlate new use cases, offer consumption-based models, and manage change with ongoing support and training.

Simplify

Accelerate

Predict and automate business outcomes, and make intelligent decisions from edge to core by applying AI.

Innovate

Identify and apply emerging technologies to industry specific use cases.

HPE Artificial Intelligence and Data Driven Services

Only HPE has the expertise, edge to core technologies and partner ecosystem to help you explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. We’ll help at all stages of the journey from formulating a roadmap through implementation and data migration.

Speed adoption of blockchain solutions while maintaining operational excellence. HPE Pointnext Blockchain Services will help you get the most out of blockchain – on-premises, in the cloud or in a hybrid environment.

Most businesses have too much data to deal with, thanks to a proliferation of analytics, streaming data, IoT and extensive archives. AI may be able to derive value from these sources, as long as the right discussions take place ahead of time.

Artificial intelligence (AI), particularly the area of AI known as machine learning, is currently the darling of the IT world. Many businesses are touting these technologies as differentiators for their products; be it a mobile device, a search engine, or a photo management site, nothing is seen as complete unless it leverages AI.